Fast and Automatic Heart Isolation in 3D CT Volumes: Optimal Shape Initialization

Abstract. Heart isolation (separating the heart from the proximity tissues, e.g., lung, liver, and rib cage) is a prerequisite to clearly visualize the coronary arteries in 3D. Such a 3D visualization provides an intuitive view to physicians to diagnose suspicious coronary segments. Heart isolation is also necessary in radiotherapy planning to mask out the heart for the treatment of lung or liver tumors. In this paper, we propose an efficient and robust method for heart isolation in computed tomography (CT) volumes. Marginal space learning (MSL) is used to efficiently estimate the position, orientation, and scale of the heart. An optimal mean shape (which optimally represents the whole shape population) is then aligned with detected pose, followed by boundary refinement using a learning-based boundary detector. Post-processing is further exploited to exclude the rib cage from the heart mask. A large-scale experiment on 589 volumes (including both contrasted and non-contrasted scans) f...

• Type: Journal
• Year: 2010
• Where: MICCAI
• Authors: Yefeng Zheng, Fernando Vega Higuera, Shaohua Kevin Zhou, Dorin Comaniciu
• Keywords: Heart Isolation, Medical Imaging, MICCAI 2010, Rib Cage, Suspicious Coronary Segments